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Runway excursions at landing constitute a major threat to aviation safety. Among them, runway overruns, defined as those occurrences when an aircraft departs the end of a runway, are the most frequent events. Although their occurrence rate is low, the entailed consequences may be very severe in terms of lives and aircraft damage. The main contributing factors to this event and their relationships are studied with the aid of a Bayesian network, while also modeling the nodes' conditional distributions. Then, inferences and predictions are made for the quantities of interest. The issues uncovered suggest several operational recommendations to reduce the probability of facing a runway overrun when landing.

We present a risk analysis undertaken to mitigate problems in relation to the unintended deployment of slides under normal operations within a commercial airline. This type of incident entails relevant costs for the airline industry. After assessing the likelihood and severity of its consequences, we conclude that such risks need to be managed. We then evaluate the effectiveness of various countermeasures, describing and justifying the chosen ones. We also discuss several issues faced when implementing and communicating the proposed measures, thus fully illustrating the risk analysis process.